Data Engineer (Short-Term Engagement)

Sls.guru is seeking a Data Engineer for a short-term engagement to optimize data pipelines and analytics layers. The role involves integrating multiple data sources and ensuring data quality, consistency, and reliability to support data-driven decisions.

Responsibilities:

• Design, build, and optimize data pipelines using CData connectors
• Ingest and transform data into Snowflake for analytics and reporting
• Develop and maintain scalable data models within Snowflake
• Build and optimize Looker schemas (LookML) for business intelligence use cases
• Ensure data quality, consistency, and reliability across systems
• Collaborate with stakeholders to understand reporting requirements and translate them into technical solutions
• Troubleshoot and resolve data pipeline and modeling issues
• Implement best practices for data governance, performance optimization, and scalability

Requirements:

• 5+ years of overall data engineering experience
• Expert-level experience with CData (connectors, integrations, and data ingestion)
• Strong expertise in Snowflake (data modeling, performance tuning, ETL/ELT)
• Extensive experience building Looker schemas (LookML)
• Strong SQL skills and experience working with large datasets
• Experience designing and implementing end-to-end data pipelines
• Familiarity with data integration patterns and best practices
• Experience working in Agile development environments
• Strong problem-solving and communication skills
• Experience with BI tools beyond Looker
• Familiarity with modern data stack tools
• Experience with data governance and data quality frameworks
• Exposure to cloud-based data ecosystems
• Experience with manufacturing or distribution data (nice to have)